Bethesda, MD
Core Facility
The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...
Frederick , MD
Core Facility
The Frederick Sequencing and Genomics Core (FSGC) was established through the integration and consolidation of the former Sequencing Facility (SF) and the Genomics Technology Laboratory (GTL). The new FSGC eliminates redundancy and provides cutting edge Read More...
Bethesda, MD
Core Facility
The Cancer and Inflammation Program – Microbiome and Genetics Core (CIP-MGC) grew out of the former CIP Genetics Core to meet the increasing need for sequencing and analysis of commensal microbiota within CIP and NCI. The Read More...
Bethesda, MD
Collaborative
Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...
Bethesda, MD
Trans NIH Facility
The NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI) is a trans-NIH resource whose mission is to provide a collaborative hub of advanced translational immunology for NIH clinical and pre-clinical studies. This uniquely structured Read More...
Web Page
Large STARS can be used to request supplemental funding exceeding $8,000 to offset experimental costs (e.g., core or vendor services or specialized reagents). Applications require detailed scientific and budgetary justification and must be proposed in Read More...
Bethesda, MD
Trans NIH Facility
The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...
Frederick, MD
Collaborative
In order to meet increasing demands from both NIH intramural and extramural communities for access to a small angle X-ray scattering (SAXS) resource, the Center for Cancer Research (CCR) under the leadership of Drs. Jeffrey Read More...
Bethesda, MD
Trans NIH Facility
The Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience Read More...
Web Page
The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...
Web Page
Bioinformatics
Reshape iris_long to a wide format. Your new column names will contain names from Measurement.location . Your wide data should look as follows: ## # A tibble: 150 × 6 ## Iris.ID Species Sepal.Length Sepal.Width Petal.Length Read More...
Web Page
Bioinformatics
Q1. Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and do not contain spaces. Read More...
Web Page
Bioinformatics
05/20/2020 - Advances in technology have reduced the cost of single cell sequencing, opening the doors to many new areas of study including transcriptome, DNA genomics, epigenomics and microbial systems. This workshop, provided by experts from Read More...
Web Page
Bioinformatics
There are a number of core facilities available to NCI researchers. See more information from the Office of Science and Technology Resources. We most commonly see data from the following cores: CCR Sequencing Facility (CCR-SF) Read More...
Web Page
Bioinformatics
Help Session Lesson 3 Loading data Import data from the sheet "iris_data_long" from the excel workbook (file_path = "./data/iris_data.xlsx"). Make sure the column names are unique and Read More...
Web Page
Bioinformatics
Bray-Curtis dissimilarity quantitative Takes into consideration abundance and presence absence Jaccard - qualitative - presence / absence - percentage of taxa not found in both samples Weighted UniFrac quantitative similar to Bray-Curtis but takes into consideration Read More...
Web Page
Bioinformatics
04/30/2020 - SSSC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...
Web Page
Bioinformatics
04/23/2020 - SSSC Seminar:Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will talk Read More...
Web Page
Bioinformatics
04/16/2020 - SS/SC Seminar: Dimension Reduction Methods: from PCA to TSNE and UMAP In this seminar series, I will review some basic concepts of statistical analyses that are commonly used in everyday research. I will Read More...
Web Page
Bioinformatics
It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This Read More...
Web Page
Bioinformatics
10/13/2023 - Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar. The explosion of biomedical big data and Read More...
Web Page
Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
Web Page
Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
Web Page
Bioinformatics
The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR Read More...
Web Page
Bioinformatics
10/19/2022 - Speaker: Ron Germain, M.D., Ph.D. NIH Distinguished Investigator NIAID, NIH Dr. Germain received his Sc.B. and Sc.M. from Brown University in 1970 and his M.D. and Ph.D. from Harvard Read More...
Web Page
Bioinformatics
06/10/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=mc11b56eb7f7e732aa44c78427402dd2e Abstract: Long read, single molecule sequencing from Pacific Biosciences (PacBio) and Oxford Nanopore are revolutionizing Read More...
Web Page
Bioinformatics
06/16/2000 - We present the AMARETTO-Hub as a Knowledge Graph-based software platform that leverages Neo4j and Shiny to embed and interactively interrogate results generated by the *AMARETTO software toolbox that offers modular and complementary solutions Read More...
Web Page
Bioinformatics
This document contains practice questions on plot customization using ggplot2. All questions use datasets available in base R or in ggplot2. Suggested workflow for students: Attempt each question in your own script or console. Only Read More...
Web Page
Bioinformatics
Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...
Web Page
Bioinformatics
Lesson 6 . Learning Objectives Introduce several beta diversity metrics Discover different ordination methods Learn about statistical methods that are applicable Beta diversity Beta diversity is between sample diversity. This is useful for answering the question, how Read More...
Web Page
Bioinformatics
This page uses content directly from the Biostar Handbook by Istvan Albert. Obtain RNA-seq test data. The test data consists of two commercially available RNA samples: Universal Human Reference (UHR) and Human Brain Reference (HBR) . Read More...
Web Page
Bioinformatics
The nors data frame is not sorted. The .sort_values() attribute can be used to do this. Inside .sort_value(), the option by will be used to sort the NORS data by the variable(s) Read More...